Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional […]

Despite protection measures, the Golden cod sub-population in the Gilbert Bay Marine Protected Area is experiencing steep decline. Given the regulatory complexity and reluctance of industry to consider a split or delayed season for surrounding fisheries, partners aim to create an alternative solution to balance economic fishing interests with conservation objectives. The goal of this […]

The purpose of analyzing the different stages of sleep by means of functional connectivity metrics is due to the overwhelming unlikelihood of seizures occurring during REM sleep. The functional connectivity metrics are computational algorithms run on a computer that determine if the signal from one node is similar to another in any way. These nodes […]

This project will primarily involve the commercialization and business development strategies of Optemo’s shopping platform. While Optemo experienced positive results from its trial run with Best Buy Canada, it needs to acquire the ideal customers in order to generate momentum and awareness of the product and its benefits. It will be important to identify the […]

This project aims at developing a conversational agent for autistic people and their families, based on highly accurate training datasets while deploying Natural Language Processing (NLP) and Deep Learning (DL) techniques. This project will help promote inclusion and diversity into AI design by using the right data to train the conversational agent system to be […]

The risk of airborne disease transmission is high for essential workers even while wearing PPE. Since SARS-CoV-2 can remain airborne after a sneeze or cough for several hours, ideally, there would be effective methods to remove these infectious particles directly from the air. In this work, we develop a membrane-based technology capable of serving the […]

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and […]

In the field of power electronics, one important goal is to make low power loss and super fast switching speed. In making this goal, GaN transistors are better choices than the conventional Si devices. In this project, we investigate the GaN technology design and details with simulation tools by Crosslight Software and testing data in […]

L’industrie de la restauration est une composante charnière du système bioalimentaire québécois. Or, elle a beaucoup souffert de la crise sanitaire causée par la COVID-19. Sa relance sera facilitée par le développement d’innovation de tout type. Pour supporter l’industrie, GastronomiQc Lab, une unité mixte de recherche en collaboration avec la Société des Casinos du Québec, […]

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped. This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration […]

Mining is important to the Canadian economy but also generates large quantities of waste rock. Water percolating through some waste rock piles dissolves metals that can become hazardous to ecosystems. Laboratory tests are used to simulate this process. The intern will examine a suite of samples from a multi-year laboratory test to identify the source […]

This project will study the effects of CO2 sequestration in mine waste tailings using a robotic mixing system. Mine waste tailings represent a large opportunity for carbon storage, assisting mining companies with goals to improve their carbon footprint. Robotic mixing of the surface of tailings is expected to accelerate carbon storage and mixing and measurement […]